trialr: Clinical Trial Designs in 'rstan'

A collection of clinical trial designs and methods, implemented in 'rstan' and R, including: the Continual Reassessment Method by O'Quigley et al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and more. We provide functions to aid model-fitting and analysis. The 'rstan' implementations may also serve as a cookbook to anyone looking to extend or embellish these models. We hope that this package encourages the use of Bayesian methods in clinical trials. There is a preponderance of early phase trial designs because this is where Bayesian methods are used most. If there is a method you would like implemented, please get in touch.

Version: 0.1.5
Depends: R (≥ 3.5.0), methods, Rcpp (≥ 1.0.1)
Imports: rstan (≥ 2.18.2), rstantools (≥ 1.5.1), rlang (≥ 0.4.5), dplyr, purrr, magrittr, stringr, ggplot2, gtools, coda, tidybayes (≥ 2.0.3), tibble (≥ 3.0.0), binom, MASS
LinkingTo: StanHeaders (≥ 2.18.1), rstan (≥ 2.18.2), BH (≥ 1.69.0-1), Rcpp (≥ 1.0.1), RcppEigen (≥ 0.3.3.5.0)
Suggests: testthat, knitr, rmarkdown, tidyr, ggridges, DiagrammeR
Published: 2020-10-15
Author: Kristian Brock ORCID iD [aut, cre], Trustees of Columbia University [cph]
Maintainer: Kristian Brock <kristian.brock at gmail.com>
BugReports: https://github.com/brockk/trialr/issues
License: GPL (≥ 3)
URL: https://github.com/brockk/trialr
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: trialr results

Documentation:

Reference manual: trialr.pdf
Vignettes: CRM: Continual Reassessment Method
Visualisation with CRM
Dose pathways with CRM
CRM Case Study 1 - Levy et al (2006)
Time-to-Event Continual Reassessment Method
NeuenschwanderBransonGsponer
EffTox
Hierarchical Bayesian Model for Binary Responses
BEBOP: Bayesian Evaluation of Bivariate Binary Outcomes and Predictive Information

Downloads:

Package source: trialr_0.1.5.tar.gz
Windows binaries: r-devel: trialr_0.1.5.zip, r-devel-UCRT: trialr_0.1.5.zip, r-release: trialr_0.1.5.zip, r-oldrel: trialr_0.1.5.zip
macOS binaries: r-release (arm64): trialr_0.1.5.tgz, r-release (x86_64): trialr_0.1.5.tgz, r-oldrel: trialr_0.1.5.tgz
Old sources: trialr archive

Reverse dependencies:

Reverse imports: escalation

Linking:

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